These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

229 related articles for article (PubMed ID: 36179104)

  • 1. MATS: a novel multi-ancestry transcriptome-wide association study to account for heterogeneity in the effects of cis-regulated gene expression on complex traits.
    Knutson KA; Pan W
    Hum Mol Genet; 2023 Apr; 32(8):1237-1251. PubMed ID: 36179104
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Statistical power of transcriptome-wide association studies.
    He R; Xue H; Pan W;
    Genet Epidemiol; 2022 Dec; 46(8):572-588. PubMed ID: 35766062
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Bayesian genome-wide TWAS with reference transcriptomic data of brain and blood tissues identified 141 risk genes for Alzheimer's disease dementia.
    Guo S; Yang J
    Alzheimers Res Ther; 2024 Jun; 16(1):120. PubMed ID: 38824563
    [TBL] [Abstract][Full Text] [Related]  

  • 4. How powerful are summary-based methods for identifying expression-trait associations under different genetic architectures?
    Veturi Y; Ritchie MD
    Pac Symp Biocomput; 2018; 23():228-239. PubMed ID: 29218884
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Influence of tissue context on gene prioritization for predicted transcriptome-wide association studies.
    Li B; Veturi Y; Bradford Y; Verma SS; Verma A; Lucas AM; Haas DW; Ritchie MD
    Pac Symp Biocomput; 2019; 24():296-307. PubMed ID: 30864331
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Accounting for nonlinear effects of gene expression identifies additional associated genes in transcriptome-wide association studies.
    Lin Z; Xue H; Malakhov MM; Knutson KA; Pan W
    Hum Mol Genet; 2022 Jul; 31(14):2462-2470. PubMed ID: 35043938
    [TBL] [Abstract][Full Text] [Related]  

  • 7. METRO: Multi-ancestry transcriptome-wide association studies for powerful gene-trait association detection.
    Li Z; Zhao W; Shang L; Mosley TH; Kardia SLR; Smith JA; Zhou X
    Am J Hum Genet; 2022 May; 109(5):783-801. PubMed ID: 35334221
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Multitrait transcriptome-wide association study (TWAS) tests.
    Feng H; Mancuso N; Pasaniuc B; Kraft P
    Genet Epidemiol; 2021 Sep; 45(6):563-576. PubMed ID: 34082479
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Novel Variance-Component TWAS method for studying complex human diseases with applications to Alzheimer's dementia.
    Tang S; Buchman AS; De Jager PL; Bennett DA; Epstein MP; Yang J
    PLoS Genet; 2021 Apr; 17(4):e1009482. PubMed ID: 33798195
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Bayesian Genome-wide TWAS Method to Leverage both cis- and trans-eQTL Information through Summary Statistics.
    Luningham JM; Chen J; Tang S; De Jager PL; Bennett DA; Buchman AS; Yang J
    Am J Hum Genet; 2020 Oct; 107(4):714-726. PubMed ID: 32961112
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Multi-trait transcriptome-wide association studies with probabilistic Mendelian randomization.
    Liu L; Zeng P; Xue F; Yuan Z; Zhou X
    Am J Hum Genet; 2021 Feb; 108(2):240-256. PubMed ID: 33434493
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Aggregating multiple expression prediction models improves the power of transcriptome-wide association studies.
    Zeng P; Dai J; Jin S; Zhou X
    Hum Mol Genet; 2021 May; 30(10):939-951. PubMed ID: 33615361
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Leveraging expression from multiple tissues using sparse canonical correlation analysis and aggregate tests improves the power of transcriptome-wide association studies.
    Feng H; Mancuso N; Gusev A; Majumdar A; Major M; Pasaniuc B; Kraft P
    PLoS Genet; 2021 Apr; 17(4):e1008973. PubMed ID: 33831007
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A framework for transcriptome-wide association studies in breast cancer in diverse study populations.
    Bhattacharya A; García-Closas M; Olshan AF; Perou CM; Troester MA; Love MI
    Genome Biol; 2020 Feb; 21(1):42. PubMed ID: 32079541
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Multi-tissue neocortical transcriptome-wide association study implicates 8 genes across 6 genomic loci in Alzheimer's disease.
    Gockley J; Montgomery KS; Poehlman WL; Wiley JC; Liu Y; Gerasimov E; Greenwood AK; Sieberts SK; Wingo AP; Wingo TS; Mangravite LM; Logsdon BA
    Genome Med; 2021 May; 13(1):76. PubMed ID: 33947463
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Network regression analysis in transcriptome-wide association studies.
    Jin X; Zhang L; Ji J; Ju T; Zhao J; Yuan Z
    BMC Genomics; 2022 Aug; 23(1):562. PubMed ID: 35933330
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Transcriptome-Wide Association Study of Blood Cell Traits in African Ancestry and Hispanic/Latino Populations.
    Wen J; Xie M; Rowland B; Rosen JD; Sun Q; Chen J; Tapia AL; Qian H; Kowalski MH; Shan Y; Young KL; Graff M; Argos M; Avery CL; Bien SA; Buyske S; Yin J; Choquet H; Fornage M; Hodonsky CJ; Jorgenson E; Kooperberg C; Loos RJF; Liu Y; Moon JY; North KE; Rich SS; Rotter JI; Smith JA; Zhao W; Shang L; Wang T; Zhou X; Reiner AP; Raffield LM; Li Y
    Genes (Basel); 2021 Jul; 12(7):. PubMed ID: 34356065
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A Multi-tissue Transcriptome Analysis of Human Metabolites Guides Interpretability of Associations Based on Multi-SNP Models for Gene Expression.
    Ndungu A; Payne A; Torres JM; van de Bunt M; McCarthy MI
    Am J Hum Genet; 2020 Feb; 106(2):188-201. PubMed ID: 31978332
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Tissue specificity-aware TWAS (TSA-TWAS) framework identifies novel associations with metabolic, immunologic, and virologic traits in HIV-positive adults.
    Li B; Veturi Y; Verma A; Bradford Y; Daar ES; Gulick RM; Riddler SA; Robbins GK; Lennox JL; Haas DW; Ritchie MD
    PLoS Genet; 2021 Apr; 17(4):e1009464. PubMed ID: 33901188
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Transcriptome-wide association study in UK Biobank Europeans identifies associations with blood cell traits.
    Rowland B; Venkatesh S; Tardaguila M; Wen J; Rosen JD; Tapia AL; Sun Q; Graff M; Vuckovic D; Lettre G; Sankaran VG; Voloudakis G; Roussos P; Huffman JE; Reiner AP; Soranzo N; Raffield LM; Li Y
    Hum Mol Genet; 2022 Jul; 31(14):2333-2347. PubMed ID: 35138379
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.